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speecht5_tts_common_voice_uk

Text-to-Speech
Transformers
Safetensors
Ukrainian
speecht5
text-to-audio
Generated from Trainer
Inference Endpoints
Model card Files Community
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End of training

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Files changed (3) hide show
  1. README.md +12 -15
  2. model.safetensors +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -8,9 +8,6 @@ datasets:
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  model-index:
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  - name: speecht5_tts_common_voice_uk
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  results: []
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- language:
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- - uk
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- pipeline_tag: text-to-speech
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -20,7 +17,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the common_voice_16_1 dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.4175
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  ## Model description
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@@ -53,16 +50,16 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | 0.8979 | 1.0 | 146 | 0.6939 |
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- | 0.7148 | 2.0 | 292 | 0.4864 |
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- | 0.5449 | 3.0 | 438 | 0.4567 |
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- | 0.5229 | 4.0 | 584 | 0.4548 |
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- | 0.5049 | 5.0 | 730 | 0.4294 |
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- | 0.4865 | 6.0 | 876 | 0.4281 |
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- | 0.4751 | 7.0 | 1022 | 0.4234 |
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- | 0.4706 | 8.0 | 1168 | 0.4201 |
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- | 0.4683 | 9.0 | 1314 | 0.4194 |
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- | 0.4667 | 10.0 | 1460 | 0.4175 |
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  ### Framework versions
@@ -70,4 +67,4 @@ The following hyperparameters were used during training:
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  - Transformers 4.37.2
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  - Pytorch 1.12.1+cu116
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  - Datasets 2.4.0
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- - Tokenizers 0.15.1
 
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  model-index:
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  - name: speecht5_tts_common_voice_uk
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  results: []
 
 
 
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
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  This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the common_voice_16_1 dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.4191
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 0.902 | 1.0 | 146 | 0.7113 |
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+ | 0.7054 | 2.0 | 292 | 0.4888 |
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+ | 0.5368 | 3.0 | 438 | 0.4549 |
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+ | 0.5188 | 4.0 | 584 | 0.4441 |
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+ | 0.5007 | 5.0 | 730 | 0.4526 |
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+ | 0.4836 | 6.0 | 876 | 0.4299 |
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+ | 0.4722 | 7.0 | 1022 | 0.4249 |
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+ | 0.4666 | 8.0 | 1168 | 0.4234 |
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+ | 0.4652 | 9.0 | 1314 | 0.4218 |
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+ | 0.4639 | 10.0 | 1460 | 0.4191 |
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  ### Framework versions
 
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  - Transformers 4.37.2
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  - Pytorch 1.12.1+cu116
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  - Datasets 2.4.0
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+ - Tokenizers 0.15.2
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